Over the next several videos, we’ll be working to deploy a Keras model to a Flask web service. In this first video, we’re going to discuss what this means and why we’d want to do this. We’ll also get a glimpse of what the final product will look like.
The model we’ll use is the fine-tuned VGG16 image classifier that we worked with earlier in this playlist to predict on images of cats and dogs, but the steps we go through together for this can be used for whatever model you choose to work with. Once we’ve deployed our Keras model to the web service, we’ll be able to access our model over HTTP from other apps, and we’ll even see how we can interact with our model from the browser.
Our end goal will be to deploy the trained model to a Flask web service, and then from the browser, send an image of a cat or dog to the web service, and have it respond with the model’s predictions.
Support deeplizard on Patreon:
Checkout products deeplizard suggests on Amazon:
Support deeplizard by browsing with Brave:
Support deeplizard with crypto:
Recommended books on AI:
The Most Human Human: What Artificial Intelligence Teaches Us About Being Alive:
Life 3.0: Being Human in the Age of Artificial Intelligence
Data Science – https://www.youtube.com/playlist?list=PLZbbT5o_s2xo_SRS9wn9OSs_kzA9Jfz8k
Machine Learning – https://www.youtube.com/playlist?list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU
Keras – https://www.youtube.com/playlist?list=PLZbbT5o_s2xrwRnXk_yCPtnqqo4_u2YGL
Brittle Rille by Kevin MacLeod
Thief in the Night by Kevin MacLeod
Licensed under Creative Commons: By Attribution 3.0 License